Skip to main content

Posts

Showing posts with the label Data measurement techniques

Understanding the Measurement of Variables and Data in Research

Welcome everyone! Today, we'll dive into the measurement of variables and data, focusing on scaling and the differences between reflective and formative measurement scales. This session is essential for understanding how to effectively measure variables and ensure accurate data collection in your research. What are Variables? A variable is an element that can change based on the impact under study. It represents the characteristics or properties that researchers measure. To measure a variable, we establish the characteristic to be measured, decide on a method of measurement, and then use this method impartially. For example, when measuring characteristics like hunger, thirst, or satisfaction, it's essential to remain objective to avoid bias. This objectivity ensures the data's reliability and validity. Types of Scales Nominal Scale : This is the most basic type of scale, used to categorize data without any order. For instance, a survey asking about gender (male, female) or ...